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Weifeng Lv
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Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation


May 21, 2023
Han Huang, Leilei Sun, Bowen Du, Weifeng Lv

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Towards Better Dynamic Graph Learning: New Architecture and Unified Library


Mar 23, 2023
Le Yu, Leilei Sun, Bowen Du, Weifeng Lv

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* 24 pages 
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Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation


Jan 01, 2023
Han Huang, Leilei Sun, Bowen Du, Weifeng Lv

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GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation


Dec 04, 2022
Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv

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* Accepted by the IEEE International Conference on Data Mining (ICDM) 2022 
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Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction


Jun 30, 2022
Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong

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Label-Enhanced Graph Neural Network for Semi-supervised Node Classification


May 31, 2022
Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu, Weifeng Lv

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* 12 pages 
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Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction


Apr 14, 2022
Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv

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* 25 pages, 9 figures 
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Collaborative Learning in General Graphs with Limited Memorization: Learnability, Complexity and Reliability


Jan 29, 2022
Feng Li, Xuyang Yuan, Lina Wang, Huan Yang, Dongxiao Yu, Weifeng Lv, Xiuzhen Cheng

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Heterogeneous Graph Representation Learning with Relation Awareness


May 24, 2021
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong

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* 14 pages, 7 figures 
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